Withdata Software

SQLite import multiple CSV files into a single table

Want to import multiple CSV files into a single SQLite table?

Try Withdata FileToDB, a desktop CSV to SQLite converter for Windows, MacOS, and Linux, Convert CSV to SQLite, Easy and Fast.

Download FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Import multiple CSV files into a single SQLite table

Login to SQLite -> Choose CSV files -> Set SQLite table -> Import CSV files to SQLite table

Choose SQLite and logon.

Click “Wizard – N Files To 1 Table” at task dialog.

Select the “CSV” file type.

then show the wizard.

1. Select a folder that constains CSV files.

Support large ( > 4GB ) CSV files.

2. Config first CSV file importing options.

3. Select a SQLite table and config fields.

4. Preview data will be in SQLite table.

5. Import multiple CSV files to the SQLite table.

View imported data in SQLite table

Import multiple CSV files to SQLite in command line

Save “multiple CSV files to SQLite” session, then you can:

Set scheduled tasks for importing multiple CSV files to SQLite

You can schedule and automate this converting task by:

  1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to SQLite” conversion.
  2. Set scheduled task for “CSV to SQLite” conversion.

FAQ

What is Withdata FileToDB?
Withdata FileToDB is an ETL software can import CSV data to SQLite. Download Withdata FileToDB
How long does it take to import CSV data to SQLite?
FileToDB works fast. It convert millions of rows within a minute.
Is it safe to import CSV data to SQLite using FileToDB?
Of course! FileToDB import CSV data to SQLite locally, absolutely safe.
Can I import CSV data to SQLite on Linux, Mac OS?
Yes, you can. FileToDB has Linux, Mac OS, and Windows version.
Can I import CSV data to SQLite in command line?
Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


More about Withdata FileToDB – CSV to SQLite converter

See Video: Batch import data from multiple CSV files into a single SQLite table in a few clicks

See also:

CSV → SQLite reference

Type mapping

Value kindin CSVin SQLite
Int1234INTEGER
Bigint9007199254740993INTEGER
Decimal1234.56NUMERIC
Float1.234e+10REAL
Textquoted only when it contains a comma or a quoteTEXT
Long textmust be quoted; line breaks inside force multi-line recordsTEXT
Date2026-09-18TEXT
Datetime2026-09-18 14:30:00TEXT
Binarynot representable - base64 or hex stringBLOB
BooleanTRUE / FALSE, or 1 / 0 depending on the writerINTEGER
JSONthe whole JSON value quoted, with internal quotes doubledTEXT

Dialect differences

CSV is a file format and SQLite is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.

Propertyin CSVin SQLite
port—(file-based)
identifiersDouble quotes; a literal quote is doubled ("" )"double quotes" or [brackets]
row limit—LIMIT n
datesConventional text: 2026-09-18 or 2026-09-18 14:30:00TEXT (no date type)
long text—TEXT
binaryNot supportedBLOB
separatorComma ","—
encodingNo declaration - UTF-8 works only with a BOM—
typingNone - every field is text—
shapeFlat table, optional header rowTables of rows and columns
ceilingNo formal limit; row count bounded by memory—

Command line

SideCommand
SQLitesqlite3 .dump
SQLite (load).import (sqlite3)

Convert your data online, free

Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.